| GeorgiaTech Egocentric Activities (GTEA)
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This dataset contains 7 types of daily activities, each performed by 4 different subjects. The camera is mounted on a cap worn by the subject.
| Activity\Subject | Subject 1 | Subject 2 | Subject 3 | Subject 4 |
| Cheese Sandwich | S1_Cheese_C1 | S2_Cheese_C1 | S3_Cheese_C1 | S4_Cheese_C1 |
| Coffee | S1_Coffee_C1 | S2_Coffee_C1 | S3_Coffee_C1 | S4_Coffee_C1 |
| Coffee with Honey | S1_CofHoney_C1 | S2_CofHoney_C1 | S3_CofHoney_C1 | S4_CofHoney_C1 |
| Hotdog Sandwich | S1_Hotdog_C1 | S2_Hotdog_C1 | S3_Hotdog_C1 | S4_Hotdog_C1 |
| Peanut-butter Sandwich | S1_Peanut_C1 | S2_Peanut_C1 | S3_Peanut_C1 | S4_Peanut_C1 |
| Peanut-butter and Jam Sandwich | S1_Pealate_C1 | S2_Pealate_C1 | S3_Pealate_C1 | S4_Pealate_C1 |
| Sweet Tea | S1_Tea_C1 | S2_Tea_C1 | S3_Tea_C1 | S4_Tea_C1 |
Download a video which can be used for calibrating the camera (C1_Calibration.MP4)
Download the annotations (Labels)
Download the left hand, right hand and object segment masks computed by our algorithm (masks)
Download the code for extracting images from videos, calibration and resizing (extract images code), you need to have ffmpeg installed in order for this code to work.
Cite the following paper when using the dataset: